KwanWaiChung / MT-EvalLinks
Code and data for "MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models"
☆41Updated 8 months ago
Alternatives and similar repositories for MT-Eval
Users that are interested in MT-Eval are comparing it to the libraries listed below
Sorting:
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆114Updated 11 months ago
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Updated last year
- ☆54Updated 10 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆57Updated 8 months ago
- ☆43Updated last year
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…☆125Updated last year
- ☆74Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆78Updated 5 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆69Updated 10 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆69Updated last year
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- Collection of papers for scalable automated alignment.☆91Updated 8 months ago
- ☆87Updated 2 years ago
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆97Updated 10 months ago
- Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)☆26Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆125Updated 9 months ago
- Towards Systematic Measurement for Long Text Quality☆35Updated 9 months ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆26Updated last year
- ☆33Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆81Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated 11 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- ☆30Updated 5 months ago
- Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>☆49Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆41Updated last year
- ☆12Updated last year
- [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios☆58Updated last year
- "TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks" [TMLR 2024]☆31Updated 6 months ago